Program
Monday, Sep. 4 | ||
---|---|---|
Chair: Ronald Taam | ||
09:00 - 09:40 | Registration and Coffee Time | |
09:40 - 10:00 | Introduction | |
10:00 - 11:30 | Jogesh Babu | Probability |
11:30 - 11:50 | Group Photo | |
11:50 - 13:00 | Lunch | |
Chair: Yen-Ting Lin | ||
13:00 - 14:30 | Yen-Chi Chen | Introduction to Statistical Inference |
14:30 - 15:00 | Break | |
15:00 - 16:30 | I-Ping Tu | Introduction to Support Vector Machine |
Tuesday, Sep. 5 | ||
Chair: Wei-Hao Wang | ||
09:00 - 10:30 | Jogesh Babu | Model Fitting, Bootstrap, and Model Selection |
10:30 - 11:00 | Break | |
11:00 - 12:30 | Yen-Chi Chen | Regression Analysis and Density Estimation |
12:30 - 13:30 | Lunch | |
Chair: Keiichi Umetsu | ||
13:30 - 15:00 | George Djorgovski | Astroinformatics and Virtual Observatory in a Broader Context / Data Visualization |
15:00 - 15:30 | Break | |
15:30 - 16:30 | Meet the lecturers | |
Wednesday, Sep. 6 | ||
Chair: Yen-Chi Chen | ||
08:50 - 10:20 | Robert Lupton | Astronomical Image Processing: From pixels to catalogues |
10:20 - 10:40 | Break | |
10:40 - 12:10 | Anna Scaife | Radio imaging: fundamentals and application |
12:10 - 13:10 | Lunch | |
Chair: Sheng-Yuan Liu | ||
13:10 - 14:10 | Meet the lecturers | |
14:20 - 15:20 | George Djorgovski | ASIAA colloquium : Big Data Meet Big Black Holes: Quasars in the Time Domain |
15:20 - 15:50 | Break | |
15:50 - 16:50 | Yen-Chi Chen | Tutorial I: Introduction to R for data analysis |
Thursday, Sep. 7 | ||
Chair: Bau-Ching Hsieh | ||
09:00 - 10:30 | George Djorgovski |
Classification Challenges in Time-Domain Astronomy
ML-intro | ML-classification |
10:30 - 11:00 | Break | |
11:00 - 12:30 | Robert Lupton | Unsolved problems in Astronomical Image Processing |
12:30 - 13:30 | Lunch | |
Chair: Yen-Ting Lin | ||
13:30 - 15:00 | Boris Leistedt | Hierarchical Bayesian inference I: foundations and astronomical applications |
15:00 - 15:30 | Break | |
15:30 - 17:00 | Anna Scaife | Machine Learning: Gaussian Process Modelling in Python |
Friday, Sep. 8 | ||
Chair: Wei-Hao Wang | ||
09:00 - 10:30 | Boris Leistedt | Hierarchical Bayesian inference II: parameter inference and connections to machine learning |
10:30 - 11:00 | Break | |
11:00 - 12:00 | Anna Scaife | Tutorial II: Using Python for data analysis |
12:00 - 13:30 | Lunch | |
Chair: Ronald Taam | ||
13:30 - 14:30 | Panel Discussion: Future of Astrostatistics |